Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce

Table 4

Classification accuracies with two algorithms’ reduction results.

Classifier	Dataset	PAAR_PR	PARA_NMG
SMO	DS1	82.1037	86.4802
	DS2	84.5962	87.6572
	DS6	91.5151	97.9569
Naive Bayes	DS1	75.4451	84.7014
	DS2	87.4395	93.1425
	DS6	67.0616	75.6389
NBM	DS1	57.4696	77.7349
	DS2	87.6570	89.6472
	DS6	97.1868	97.9569
Logistic	DS1	83.6540	88.0672
	DS2	87.7754	90.7764
	DS6	99.9873	99.9898
LWL	DS1	91.7377	96.5833
	DS2	70.9932	80.4851
	DS6	67.0616	67.0616
J48	DS1	90.5104	97.9103
	DS2	82	82
	DS6	97.1868	98.1967
MultiClassClassifier	DS1	81.6033	82.8716
	DS2	95.1595	98.5344
	DS6	96.1977	99.9781